{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对连续型特征，可以用哪个函数可视化其分布？（给出你最常用的一个即可），并根据代码运行结果给出示例。\n",
    "直方图：sns.distplot()\n",
    "箱型图：sns.boxplot()\n",
    "提琴图：sns.violinplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对两个连续型特征，可以用哪个函数得到这两个特征之间的相关性？根据代码运行结果，给出示例。\n",
    "使用DataFrame的corr获得两个特征的相关性，一般认为大于0.5的为强相关\n",
    "cols = df.columns\n",
    "data_corr = df.corr()  # 相关系数大于0.5为强相关\n",
    "sns.heatmap(data_corr,annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 如果发现特征之间有较强的相关性，在选择线性回归模型时应该采取什么措施。\n",
    "可以进行PCA降维（特征层面）和加正则项（模型层面）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#当采用带正则的模型以及采用随机梯度下降优化算法时，需要对输入（连续型）特征进行去量纲预处理。\n",
    "#课程代码给出了用标准化（StandardScaler）的结果，请改成最小最大缩放（MinMaxScaler）去量纲 ，\n",
    "#并重新训练最小二乘线性回归、岭回归、和Lasso模型。\n",
    "ss_x = MinMaxScalar()\n",
    "X = ss_x.fit_transform(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#代码中给出了岭回归（RidgeCV）和Lasso（LassoCV）超参数（alpha_）调优的过程，\n",
    "#请结合两个最佳模型以及最小二乘线性回归模型的结果，给出什么场合应该用岭回归，什么场合用Lasso，\n",
    "#什么场合用最小二乘。\n",
    "最小二乘： 适用与特征之间相关性不强的数据\n",
    "岭回归： 适用与特征之间有一些相关性的数据\n",
    "Lasso回归： 适用与特征之前有很多强相关性的数据\n",
    "最小二乘线性回归中，目标函数只考虑了模型对训练样本的拟合程度，容易过拟合。岭回归使得线性回归系数收缩，模型稳定。\n",
    "当输入特征之间存在共线性时使用较好。lasso也会收缩回归系数。当正则参数取合适值时，使得有些线性回归系数为0，得到\n",
    "稀疏模型。当输入特征多，有些特征与目标变量之间相关性很弱时，可能只选择强相关的特征，模型解释性好。 通过模型结果\n",
    "来看，不同模型中各个变量的比重不同。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 线性回归实例\n",
    "# LinearRegression\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression\n",
    "x_train = np.array([1.7,1.5,1.3,5.0,1.3,2.2])\n",
    "y_train = np.array([368,340,376,954,331,556])\n",
    "# 画出数据点\n",
    "plt.scatter(x_train,y_train,label = \"Train Samples\")\n",
    "#在Scikit-Learn中为二维数组\n",
    "X_train = x_train.reshape(-1,1)\n",
    "lr = LinearRegression()\n",
    "#训练模型参数\n",
    "lr.fit(X_train,y_train)\n",
    "#print(lr.coef_)\n",
    "# print(lr)\n",
    "#help(LinearRegression)\n",
    "y_pre = lr.predict(X_train)\n",
    "# print(type(y_pre))\n",
    "# print(y_pre)\n",
    "#画出预测直线\n",
    "plt.plot(X_train,y_pre,color='r')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIM   ZN   INDUS   CHAS    NOX     RM   AGE     DIS  RAD  TAX  PTRATIO  \\\n",
       "0  0.00632  18.0    2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
       "1  0.02731   0.0    7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
       "2  0.02729   0.0    7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
       "3  0.03237   0.0    2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
       "4  0.06905   0.0    2.18     0  0.458  7.147  54.2  6.0622    3  222     18.7   \n",
       "\n",
       "   LSTAT  MEDV  \n",
       "0   4.98  24.0  \n",
       "1   9.14  21.6  \n",
       "2   4.03  34.7  \n",
       "3   2.94  33.4  \n",
       "4   5.33  36.2  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np  #数据存储和计算\n",
    "import pandas as pd #关系数据表处理工具\n",
    "import matplotlib.pyplot as plt  #画图\n",
    "import seaborn as sns  #画图\n",
    "\n",
    "df = pd.read_csv('boston.csv')\n",
    "#显示前5行\n",
    "df.head()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 13 columns):\n",
      "CRIM       506 non-null float64\n",
      " ZN        506 non-null float64\n",
      "INDUS      506 non-null float64\n",
      "CHAS       506 non-null int64\n",
      "NOX        506 non-null float64\n",
      "RM         506 non-null float64\n",
      "AGE        506 non-null float64\n",
      "DIS        506 non-null float64\n",
      "RAD        506 non-null int64\n",
      "TAX        506 non-null int64\n",
      "PTRATIO    506 non-null float64\n",
      "LSTAT      506 non-null float64\n",
      "MEDV       506 non-null float64\n",
      "dtypes: float64(10), int64(3)\n",
      "memory usage: 51.5 KB\n"
     ]
    }
   ],
   "source": [
    "#数据总体信息\n",
    "df.info() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(506, 13)\n"
     ]
    }
   ],
   "source": [
    "#样本数目和特征维数\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['CRIM', ' ZN ', 'INDUS ', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD',\n",
      "       'TAX', 'PTRATIO', 'LSTAT', 'MEDV'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "#列名字\n",
    "print(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>3.677082</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM         ZN       INDUS         CHAS         NOX          RM  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
       "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
       "75%      3.677082   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO       LSTAT  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.455534   12.653063   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.164946    7.141062   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.600000    1.730000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.400000    6.950000   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.050000   11.360000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.200000   16.955000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000   37.970000   \n",
       "\n",
       "             MEDV  \n",
       "count  506.000000  \n",
       "mean    22.532806  \n",
       "std      9.197104  \n",
       "min      5.000000  \n",
       "25%     17.025000  \n",
       "50%     21.200000  \n",
       "75%     25.000000  \n",
       "max     50.000000  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对数值型特征，得到每个特征的描述统计量\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 单个变量分析，可用直方图，箱体图查看大致分布，是否存在噪声点等\n",
    "# 直方图 seaborn的distplot方法可以绘制数值型特征直方图\n",
    "fig = plt.figure()\n",
    "sns.distplot(df[\"MEDV\"], bins = 30, kde = True)\n",
    "plt.xlabel(\"Median value of owner-occupied homes\",fontsize = 12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1a23cb4450>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23beba90>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#使用DataFrame的hist()方法也可以绘制直方图(historgram)\n",
    "#distplot绘图的纵轴为样本的比例,hist方法绘图为样本数目\n",
    "features = [\"MEDV\",\"CRIM\"]\n",
    "df[features].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a24467090>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#箱型图 突出某些信息，散步程度\n",
    "_,axes = plt.subplots(1,2,sharey = True, figsize = (6,4))\n",
    "sns.boxplot(data = df[\"MEDV\"], ax = axes[0])\n",
    "#结合了箱型图和核密度估计的特点，连续变量数据的分布并进行比较\n",
    "sns.violinplot(data = df[\"MEDV\"], ax = axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    471\n",
       "1     35\n",
       "Name: CHAS, dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 频率表\n",
    "df[\"CHAS\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#图形化表示频率表\n",
    "sns.countplot(df[\"CHAS\"], order = [0, 1])\n",
    "plt.xlabel(\"Charles River\")\n",
    "plt.ylabel(\"Number of occurrences\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25f7d8d0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#相关矩阵\n",
    "cols = df.columns\n",
    "data_corr = df.corr()  # 相关系数大于0.5为强相关\n",
    "sns.heatmap(data_corr,annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绝对值来进行处理\n",
    "data_corr = data_corr.abs()\n",
    "plt.subplots(figsize = (13, 9))\n",
    "sns.heatmap(data_corr, annot = True)\n",
    "sns.heatmap(data_corr, mask = data_corr < 0.5, cbar = False) #突出重要信息\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a2659ba90>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 散点图 matplotlib的scatter  和 seaborn的jointplot\n",
    "plt.scatter(df[\"RM\"],df[\"MEDV\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1a26c072d0>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x = \"RM\", y = \"MEDV\", data = df, kind = \"scatter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %config InlineBackend.figure_format = \"png\"\n",
    "# for v,i,j in data_corr:\n",
    "#     sns.pairplot(df, x_vars = cols[i], y_vars = cols[j])\n",
    "#     plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a270509d0>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 402.375x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 参数hue表示\n",
    "sns.lmplot('RM','MEDV',data = df, hue = 'CHAS', fit_reg = False)  # CHAS 查看与 其他两个关系  黄色的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a272a3410>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, axes = plt.subplots(1,2,sharey = True, figsize = (10, 4))\n",
    "sns.boxplot(x = \"CHAS\", y = \"MEDV\", data = df, ax = axes[0])\n",
    "sns.violinplot(x = \"CHAS\", y = \"MEDV\", data = df, ax = axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
